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list_interpretations

Retrieve a user's AI interpretation history for individual articles, with time range and pagination filters for efficient review.

Instructions

获取用户的单篇文献 AI 解读历史记录,支持时间范围和分页

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
from_timeNo起始时间戳(毫秒)
to_timeNo终止时间戳(毫秒)
pageNo页码,从 1 开始,默认 1
page_sizeNo每页条数,最大 50
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must disclose behavior, but it only mentions pagination and time range. It omits details on data limits, ordering, empty results, or side effects. The read-only nature is implied but not explicit.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, clear and free of redundancy. It front-loads the primary purpose and key features, though some behavioral details are missing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a list tool with 4 parameters and no output schema, the description is adequate but incomplete. It covers what the tool does and basic options, but lacks details on return format, sorting, or maximum results.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so parameters are documented. The description adds minimal value (repeating time range and pagination support). Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool retrieves AI interpretation history for a single piece of literature, with time range and pagination support. It specifies the verb (获取) and resource (单篇文献AI解读历史记录), distinguishing it from siblings like list_questions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives, nor any conditions or exclusions. It only lists features (time range, pagination) without context for decision-making.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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